Fuzzy observer based predictive control of an activated sludge depollution bioprocess

Author

Bouharkat, Meriem ; Ramdani, Mohammed

Author_Institution

Lab. d´Autom. et Signaux de Annaba, Univ. Badji-Mokhtar de ANNABA, Annaba, Algeria

fYear

2013

fDate

6-8 May 2013

Firstpage

236

Lastpage

241

Abstract

This paper uses a model predictive controller for nonlinear wastewater process described by Takagi-Sugeno model. An approach to design MPC based on fuzzy Kalman filter (FKF) has been proposed. The aim of this suggested method is solving a depollution control problem with controlling two reactant concentrations with two control inputs. Simulation results on the mentioned bioprocess show the performance of the designed controller.

Keywords

Kalman filters; control system synthesis; fuzzy control; observers; predictive control; sludge treatment; wastewater treatment; water pollution control; FKF; MPC design; Takagi-Sugeno model; activated sludge depollution bioprocess; controller design; depollution control problem; fuzzy Kalman filter; fuzzy observer; model predictive controller; nonlinear wastewater process; reactant concentration control; Biological system modeling; Kalman filters; Mathematical model; Observers; Predictive control; Predictive models; Vectors; Fuzzy Kalman filter; MPC; State estimation; Takagi-Sugeno fuzzy model; Wastewater treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-5547-6

Type

conf

DOI

10.1109/CoDIT.2013.6689550

Filename

6689550